Results 11 to 20 of about 2,293,223 (269)
Human Activity Recognition with Noise-Injected Time-Distributed AlexNet [PDF]
BiomimeticsThis study investigates the integration of biologically inspired noise injection with a time-distributed adaptation of the AlexNet architecture to enhance the performance and robustness of human activity recognition (HAR) systems.
Sanjay Dutta +2 more
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Human Activity Recognition via Attention-Augmented TCN-BiGRU Fusion [PDF]
SensorsWith the widespread application of wearable sensors in health monitoring and human–computer interaction, deep learning-based human activity recognition (HAR) research faces challenges such as the effective extraction of multi-scale temporal features and ...
Ji-Long He +3 more
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Human Activity Recognition with Meta-learning and Attention [PDF]
Jisuanji kexue, 2023 With the in-depth research of deep learning technology,its application and development in the field of behavior recognition have been greatly promoted.Current research on behavior recognition based on deep learning usually requires a large training data ...
WANG Jiahao, ZHONG Xin, LI Wenxiong, ZHAO Dexin
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Human Gait Activity Recognition Machine Learning Methods
Sensors, 2023 Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of gait disorder patients, tracking their disease progression and the ...
Jan Slemenšek +6 more
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Human Activity Recognition [PDF]
, 2005 Motion is an important cue for the human visual system Mobiles have fascinated children, Zeno (circa 500 B.C.) studied moving arrows to pose a paradox and Zeke is investigating the human brain devoted to the understanding of motion. In computer vision research, motion has played an important role for the past thirty years.
Rama Chellappa +2 more
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LSTM-CNN Architecture for Human Activity Recognition
IEEE Access, 2020 In the past years, traditional pattern recognition methods have made great progress. However, these methods rely heavily on manual feature extraction, which may hinder the generalization model performance.
Kun Xia, Jianguang Huang, Hanyu Wang
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RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA
International Journal of Advanced Studies, 2022 The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity.
Anna V. Pyataeva +3 more
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Two-Stage Human Activity Recognition Using 2D-ConvNet.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector.
Kamal Kant Verma +3 more
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Personalization in Human Activity Recognition
CoRR, 2020 2 ...
Anna Ferrari +3 more
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Indirect Recognition of Predefined Human Activities [PDF]
Sensors, 2020 The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants. KNX (Konnex) standard-based devices were selected for smart home automation and data collection.
Ojan Majidzadeh Gorjani +3 more
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